Should I use the Notebooks or the Workbench page?

Here are some tips to help you to choose between Notebooks and Workbench:

Jupyter Notebooks


Use Jupyter Notebooks to perform interactive data analysis and seamlessly build AI/ML models using Spark or custom Python packages. Generally used by data scientists.

Use Workbench to perform ad hoc analysis of data in a data lake or other connected data source. Generally used by data analysts and data engineers.

Supports only the Spark engine.

Supports multiple engines such as Hive, Spark, Presto, etc.

Provides visualization capabilities.

No inbuilt visualization capabilities. You must download result sets in the data visualization tool of your choice.

Allows offline edits (without attaching a cluster).

Not applicable.